Created run_bench to get rid of repeated test code

src/qibotn/__main__.py

@@ -5,7 +5,7 @@ from qibotn import quimb as qiboquimb
 from QiboCircuitConvertor import QiboCircuitToEinsum
 from cuquantum import contract
 import cupy as cp
-from qibo.models import *
+from qibo.models import QFT
 
 
 def parser():
@@ -47,6 +47,16 @@ def parser_cuquantum():
     return parser.parse_args()
 
 
+def run_bench(task, label):
+    start = timer()
+    result = task()
+    end = timer()
+    circuit_eval_time = end - start
+    print(f"Simulation time: {label} = {circuit_eval_time}s")
+
+    return result
+
+
 def main_cuquantum(args: argparse.Namespace):
     print("Testing for %d nqubits" % (args.nqubits))
     nqubits = args.nqubits
@@ -60,20 +70,12 @@ def main_cuquantum(args: argparse.Namespace):
         raise NotImplementedError(f"Cannot find circuit {circuit_name}.")
 
     myconvertor = QiboCircuitToEinsum(circuit, dtype=datatype)
-
     expression, operands = myconvertor.state_vector()
 
-    start = timer()
-    result_qibo = circuit()
-    end = timer()
-    circuit_eval_time = end - start
-    print("Simulation time: Qibo                  =", circuit_eval_time, "s")
-
-    start = timer()
-    sv_cutn = contract(expression, *operands)
-    end = timer()
-    circuit_eval_time = end - start
-    print("Simulation time: cuQuantum cuTensorNet =", circuit_eval_time, "s")
+    result_qibo = run_bench(circuit, "Qibo")
+    sv_cutn = run_bench(
+        lambda: contract(expression, *operands), "cuQuantum cuTensorNet"
+    )
 
     # print(f"is sv in agreement?", cp.allclose(sv_cutn.flatten(), result_qibo.state(numpy=True)))
     assert cp.allclose(sv_cutn.flatten(), result_qibo.state(numpy=True))